232 Gongneung-ro, Nowon-gu, Seoul, 01811, korea
Tel :+82-2-970-6794
Fax : +82-2-970-6800
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Department of Bigdata AI Management Information
Graduate School of Industry (Big Data AI Management Information Department)
We foster talents equipped with skillsets in artificial intelligence, data mining, and big data technologies that will lead the Fourth Industrial Revolution. Students will be trained to solve business field tasks using mathematics, statistics, and computers.
To cultivate data scientists and data engineering technicians, the school, with a foundation in artificial intelligence and deep learning, studies and researches computing-related technologies, business administration-related fields, and data processing methodologies that can create new future business models.
This program aims to nurture field-oriented talents with big data engineering expertise as well as management minds, who can create value for companies of the future and lead the smart business landscape/
Educational goals and vision
Fostering convergence talents who will lead the smart business landscape
Fostering convergent talents with big data engineering expertise as well as management minds
We foster talents equipped with skillsets in artificial intelligence, data mining, and big data technologies that will lead the Fourth Industrial Revolution. Students will be trained to solve business field tasks using mathematics, statistics, and computers.
To cultivate data scientists and data engineering technicians, the school, with a foundation in artificial intelligence and deep learning, studies and researches computing-related technologies, business administration-related fields, and data processing methodologies that can create new future business models.
This program aims to nurture field-oriented talents with big data engineering expertise as well as management minds, who can create value for companies of the future and lead the smart business landscape/
Educational goals and vision
Fostering convergence talents who will lead the smart business landscape
Fostering convergent talents with big data engineering expertise as well as management minds
- Fostering talents with business management knowledge and computing capabilities in the era of big data
- Nurturing future-oriented, practical talents that can be apply mathematical and statistical methods, and data mining methods to various industries.
- Fostering talents who understand fintech and blockchain technology, and will lead the Fourth Industrial Revolution
- Meet society’s needs by connecting fundamental and practical studies
- Create new business models by cultivating data engineering and analysis technicians
- Cultivate students with the ability to apply their skillsets to the latest practical fields (fintech, financial engineering, high-tech technology evaluation, big data advertisement, etc.)
Education and Research Fields
- Mathematical and statistical
- Database and big data
- Artificial intelligence and application
- Internet service and security
- Management and corporate policy
- Accounting and asset management
Application and Industry Related Fields
- Big data application related companies
- Finance, securities, distribution
- Fintech and finance
- Gaming, medical treatment, advertising
- All occupations related to the 4th industrial revolution
- Large, small and medium enterprises
- IT Software
- Companies and start-ups utilizing new technologies
Department Focus
- Foster and educate industry talents related to the Fourth Industrial Revolution
- Provide career training and in-depth education for big data major student
- Provide connected programs for undergraduate and master's degrees in big data and artificial intelligence courses
- Cultivate talents suitable for the Fourth Industrial Revolution
Course Details
Night classes or online classes
- Inquiries: Computer Engineering (02-970-6707) or Business Administration Office (02-970-6488)
- Head Professor: Professor Gil-Heung Lee, Department of Computer Engineering, 02-970-6704, khlee@seoultech.ac.kr
Professor Se-Hak Cheon, Department of Business Administration, 02-970-6487, shchun@seoultech.ac.kr
- Inquiries: Computer Engineering (02-970-6707) or Business Administration Office (02-970-6488)
- Head Professor: Professor Gil-Heung Lee, Department of Computer Engineering, 02-970-6704, khlee@seoultech.ac.kr
Professor Se-Hak Cheon, Department of Business Administration, 02-970-6487, shchun@seoultech.ac.kr